The intention of over half of Web queries is to find a particular entity, or entities of a particular type. Entities and structured representations (i.e., knowledge graphs) became popular in the recent past and hence, tremendous interest is in this area at the moment. Beyond the traditional text-based retrieval and learning problems, the recent surge in entity-centered structured data on the Web like Wikidata and progress in deep and machine learning techniques enable more powerful entity-centered solutions, but also bring new challenges. The hybrid exploitation of unstructured and structured data and their use in experiments ranging from traditional machine learning to advanced deep learning techniques have led to diversified involvement of researchers and practitioners in the areas of IR, Database, Semantic Web, and Machine and Deep Learning. This workshop series provides a platform where interdisciplinary studies of entity retrieval and learning can be presented, and focused discussions can take place.
We also organize a shared task of entity summarization, in order to assess strengths and weaknesses of existing systems, compare performance of techniques, and enhance communication among researchers and developers.
Call for systems participating the shared task of entity summarization
08:40--08:45 [Video]
Welcome
08:45--09:30 [Video]
Keynote: Representation Learning for Knowledge Graphs: Link Prediction and Entity Alignment
Wei Hu (with Zequn Sun)
09:30--09:50 [Video]
Regular Paper: An Anonymiser Tool for Sensitive Graph Data
Charini Nanayakkara, Peter Christen, Thilina Ranbaduge
09:50--10:10 [Video]
Regular Paper: Improving Spare Part Search for Maintenance Services using Topic Modelling
Anastasiia Grishina, Milosh Stolikj, Qi Gao, Milan Petkovic
10:10--10:20 [Video]
Shared Task Paper: Introduction to the Shared Task of Entity Summarization
Gong Cheng
10:20--10:40 [Video]
Shared Task Paper: ESSTER at the EYRE 2020 Entity Summarization Task
Qingxia Liu, Gong Cheng, Yuzhong Qu
10:40--11:00 [Zoom]
Q&A (all papers)
Gong Cheng, Nanjing University, China
Kalpa Gunaratna, Samsung Research America, USA
Jun Wang, University College London, UK
Abhishek Abhishek, Indian Institute of Technology Guwahati, India
Takahiro Komamizu, Nagoya University, Japan
Ugur Kursuncu, University of South Carolina, USA
Sarasi Lalithsena, IBM Research, USA
Qingxia Liu, Nanjing University, China
Bo Ma, Xinjiang Technical Institute of Physics & Chemistry, Chinese Academy of Sciences, China
Raghava Mutharaju, IIIT-Delhi, India
Shahrzad Naseri, University of Massachusetts, Amherst, USA
Niki Pavlopoulou, National University of Ireland, Ireland
Krishnaprasad Thirunarayan, Wright State University, USA
Ran Yu, GESIS - Leibniz Institute for the Social Sciences, Germany
Ondřej Zamazal, University of Economics, Prague
Ningyu Zhang, Zhejiang University, China
Xiang Zhang, Southeast University, China
Lihua Zhao, Accenture, USA
EYRE '19, co-located with CIKM 2019
EYRE '18, co-located with CIKM 2018
SumPre '16, co-located with ESWC 2016
SumPre '15, co-located with ESWC 2015